Module 6 · Introduction to Deep Learning & Neural Networks
Deep Learning in Practice: lessons
Debugging training, tracking experiments, and one capstone from raw data to an evaluated model.
3 lessons · 1h 17m
What this module teaches, what it asks of you first and how you practise it are on its syllabus page.
Open the syllabusDebugging Neural Networks
18 minOverfit one batch first: a recipe for a model that refuses to learn.
Included with the track Simulation insideTracking Experiments
14 minLogging configs, metrics and artefacts so last week's result can be reproduced.
Included with the trackCapstone: an Image Classifier
45 minFrom a folder of images to an honestly evaluated model.
Included with the track